Zero-shot scene classification for urban driving using OpenAI’s CLIP model and prompt engineering.
Given an image the program determines where the image is taken
Course project for 6.869: automatic summarization for neural net interpretability
High-resolution drone imagery dataset of rural landscapes in Central Europe, designed for AI/ML training, computer vision, and geospatial analysis.
SceneMixer: Exploring Convolutional Mixing Networks for Remote Sensing Scene Classification
Scene Classification
Repository for IGARSS 2025 communication
🌎 Web Frontend for the open source project http://photos.network
Produces quicklooks SCL bands in Sentinel-2 L2A SAFE files. Pass the directory where SAFE files are as sys.argv[1]. Writes results to same directory. Produces grayscale image for SCL and false color image for snow(red)-nosnow(green). Uses the best resolution available inside the file.
Scene Classification with Convolutional Neural Networks
YOLO5s-Hydra: object detection + scene classification (Multitasks-Hydra) 🚀
GeoTalks kapsamında, yapay zeka (AI) ve açıklanabilir yapay zeka (XAI) alanlarında yapılan çalışmaları içermektedir.
A comparative study of scene classification using various AlexNet configurations in PyTorch, ranging from custom shallow architectures to Transfer Learning and Fine-Tuning on pre-trained ImageNet models.
Modelos de clasificación de imágenes utilizando técnicas de aprendizaje profundo
EfficientNet-B0 based deep learning framework for remote sensing scene classification, achieving ~99.5% accuracy on the UC Merced Land Use dataset.
Scene classificator using ML and DL techniques
Implementing FCN8 and FCN32 semantic segmentation models to classify pixels in road scenes.
Terrarium is a Python Package for geospatial manipulation and raster/vector generation for the GeoSentry 🌍 Platform powered by Google Earth Engine and Google Maps Platform.
Repo for 6.869 MiniPlaces challenge
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